3 papers
cs.LG2026
CADET: Context-Conditioned Ads CTR Prediction With a Decoder-Only Transformer
David Pardoe, Neil Daftary, Miro Furtado +20
Click-through rate (CTR) prediction is fundamental to online advertising systems. While Deep Learning Recommendation Models (DLRMs) with explicit feature interactions have long dom…
cs.IR2025
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
Hamed Firooz, Maziar Sanjabi, Adrian Englhardt +20
Ranking and recommendation systems are the foundation for numerous online experiences, ranging from search results to personalized content delivery. These systems have evolved into…
cs.LG2024
Enhancing Stability for Large Language Models Training in Constrained Bandwidth Networks
Yun Dai, Tejas Dharamsi, Byron Hsu +2
Training extremely large language models (LLMs) with billions of parameters is a computationally intensive task that pushes the limits of current data parallel training systems. Wh…